A dual physics-informed neural network for topology optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Singh, Ajendra, Chakraborty, Souvik, Chowdhury, Rajib |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accelerating metamaterial topology optimization using deep super-resolution networks
by: Singh, Ajendra, et al.
Published: (2025)
by: Singh, Ajendra, et al.
Published: (2025)
A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data
by: Chowdhury, Debangshu, et al.
Published: (2025)
by: Chowdhury, Debangshu, et al.
Published: (2025)
Enforcing hidden physics in physics-informed neural networks
by: Chen, Nanxi, et al.
Published: (2025)
by: Chen, Nanxi, et al.
Published: (2025)
Multiple scattering simulation via physics-informed neural networks
by: Nair, Siddharth, et al.
Published: (2024)
by: Nair, Siddharth, et al.
Published: (2024)
DeepF-fNet: a physics-informed neural network for vibration isolation optimization
by: Tollardo, A., et al.
Published: (2024)
by: Tollardo, A., et al.
Published: (2024)
Addressing the ground state of the deuteron by physics-informed neural networks
by: Brevi, Lorenzo, et al.
Published: (2026)
by: Brevi, Lorenzo, et al.
Published: (2026)
Active learning with physics-informed neural networks for optimal sensor placement in deep tunneling through transversely isotropic elastic rocks
by: Tristani, Alec, et al.
Published: (2025)
by: Tristani, Alec, et al.
Published: (2025)
Aspects of holographic entanglement using physics-informed-neural-networks
by: Deb, Anirudh, et al.
Published: (2025)
by: Deb, Anirudh, et al.
Published: (2025)
Discontinuity-aware KAN-based physics-informed neural networks
by: Lei, Guoqiang, et al.
Published: (2025)
by: Lei, Guoqiang, et al.
Published: (2025)
Efficient physics-informed neural networks using hash encoding
by: Huang, Xinquan, et al.
Published: (2023)
by: Huang, Xinquan, et al.
Published: (2023)
Optimal time sampling in physics-informed neural networks
by: Turinici, Gabriel
Published: (2024)
by: Turinici, Gabriel
Published: (2024)
NeuroPINNs: Neuroscience Inspired Physics Informed Neural Networks
by: Garg, Shailesh, et al.
Published: (2025)
by: Garg, Shailesh, et al.
Published: (2025)
SPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications
by: Garg, Shailesh, et al.
Published: (2026)
by: Garg, Shailesh, et al.
Published: (2026)
Self-adaptive weighting and sampling for physics-informed neural networks
by: Chen, Wenqian, et al.
Published: (2025)
by: Chen, Wenqian, et al.
Published: (2025)
Approximating electromagnetic fields in discontinuous media using a single physics-informed neural network
by: Nohra, Michel, et al.
Published: (2024)
by: Nohra, Michel, et al.
Published: (2024)
NAS-PINNv2: Improved neural architecture search framework for physics-informed neural networks in low-temperature plasma simulation
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Fine-tuning physics-informed neural networks for cavity flows using coordinate transformation
by: Takao, Ryuta, et al.
Published: (2025)
by: Takao, Ryuta, et al.
Published: (2025)
Turbulence model augmented physics informed neural networks for mean flow reconstruction
by: Patel, Yusuf, et al.
Published: (2023)
by: Patel, Yusuf, et al.
Published: (2023)
Efficient n-body simulations using physics informed graph neural networks
by: Ramos-Osuna, Víctor, et al.
Published: (2025)
by: Ramos-Osuna, Víctor, et al.
Published: (2025)
Learning of viscosity functions in rarefied gas flows with physics-informed neural networks
by: Tucny, Jean-Michel, et al.
Published: (2023)
by: Tucny, Jean-Michel, et al.
Published: (2023)
Exterior complex scaling enables physics-informed neural networks for quantum scattering
by: Lei, Jin
Published: (2026)
by: Lei, Jin
Published: (2026)
Quantifying local and global mass balance errors in physics-informed neural networks
by: Mamud, Md Lal, et al.
Published: (2023)
by: Mamud, Md Lal, et al.
Published: (2023)
Solving the Teukolsky equation with physics-informed neural networks
by: Luna, Raimon, et al.
Published: (2022)
by: Luna, Raimon, et al.
Published: (2022)
Astral: training physics-informed neural networks with error majorants
by: Fanaskov, Vladimir, et al.
Published: (2024)
by: Fanaskov, Vladimir, et al.
Published: (2024)
Simulation of parametrized cardiac electrophysiology in three dimensions using physics-informed neural networks
by: Gomez, Roshan Antony, et al.
Published: (2025)
by: Gomez, Roshan Antony, et al.
Published: (2025)
Neural Hodge Corrective Solvers: A Hybrid Iterative-Neural Framework
by: Puthli, Arjun, et al.
Published: (2026)
by: Puthli, Arjun, et al.
Published: (2026)
Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields
by: Chen, Jiakang, et al.
Published: (2026)
by: Chen, Jiakang, et al.
Published: (2026)
Microseismic source imaging using physics-informed neural networks with hard constraints
by: Huang, Xinquan, et al.
Published: (2023)
by: Huang, Xinquan, et al.
Published: (2023)
Causality-guided adaptive sampling method for physics-informed neural networks
by: Lin, Shuning, et al.
Published: (2024)
by: Lin, Shuning, et al.
Published: (2024)
FUsion-based ConstitutivE model (FuCe): Towards model-data augmentation in constitutive modelling
by: Tushar, et al.
Published: (2024)
by: Tushar, et al.
Published: (2024)
An unstructured adaptive mesh refinement for steady flows based on physics-informed neural networks
by: Zhu, Yongzheng, et al.
Published: (2024)
by: Zhu, Yongzheng, et al.
Published: (2024)
FE-PINNs: finite-element-based physics-informed neural networks for surrogate modeling
by: Sunil, Pranav, et al.
Published: (2024)
by: Sunil, Pranav, et al.
Published: (2024)
Distributed physics informed neural network for data-efficient solution to partial differential equations
by: Dwivedi, Vikas, et al.
Published: (2019)
by: Dwivedi, Vikas, et al.
Published: (2019)
Physics-informed neural networks for tsunami inundation modeling
by: Brecht, Rüdiger, et al.
Published: (2024)
by: Brecht, Rüdiger, et al.
Published: (2024)
Global physics-informed neural networks (GPINNs): from local point-wise constraint to global nodal association
by: Chen, Feng, et al.
Published: (2025)
by: Chen, Feng, et al.
Published: (2025)
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions
by: Goldshlager, Gil, et al.
Published: (2024)
by: Goldshlager, Gil, et al.
Published: (2024)
Energy-based physics-informed neural network for frictionless contact problems under large deformation
by: Bai, Jinshuai, et al.
Published: (2024)
by: Bai, Jinshuai, et al.
Published: (2024)
Lagged backward-compatible physics-informed neural networks for unsaturated soil consolidation analysis
by: Li, Dong, et al.
Published: (2026)
by: Li, Dong, et al.
Published: (2026)
Error estimation for physics-informed neural networks with implicit Runge-Kutta methods
by: Stiasny, Jochen, et al.
Published: (2024)
by: Stiasny, Jochen, et al.
Published: (2024)
Theory-informed neural networks for particle physics
by: Dillon, Barry M., et al.
Published: (2025)
by: Dillon, Barry M., et al.
Published: (2025)
Similar Items
-
Accelerating metamaterial topology optimization using deep super-resolution networks
by: Singh, Ajendra, et al.
Published: (2025) -
A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data
by: Chowdhury, Debangshu, et al.
Published: (2025) -
Enforcing hidden physics in physics-informed neural networks
by: Chen, Nanxi, et al.
Published: (2025) -
Multiple scattering simulation via physics-informed neural networks
by: Nair, Siddharth, et al.
Published: (2024) -
DeepF-fNet: a physics-informed neural network for vibration isolation optimization
by: Tollardo, A., et al.
Published: (2024)